IS WORK OVER?

Automation index

How much of a Blacksmith’s job can AI already do?

A sketch comes earlier. Forging, tempering and the piece not cracking do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Blacksmith

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Sketch, template and the material calc.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Forge, temper and the blow that counts.
Estimate

No public source provides a precise figure. This is our estimate.

22%8%+1.8
Weld, rivet and the site fit.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Grilles, gates and the client’s order.
Estimate

No public source provides a precise figure. This is our estimate.

16%32%+5.1
Coal, the hearth and the shop rhythm.
Estimate

No public source provides a precise figure. This is our estimate.

16%18%+2.9
That it does not crack, and signing the iron.
Estimate

No public source provides a precise figure. This is our estimate.

14%12%+1.7
Total100%20%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • forge
  • temper
  • grilles
  • rivet
  • iron templates
  • forge hearth
  • site fit
  • iron gates

Sources for this job· O*NET 51-4121.00· ESCO/ISCO 7221

Data architect

Where the time goes

Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.

The time saving for each task is estimated separately.

TaskShareAIPoints
Models, lineage and the catalogue.
Estimate

No public source provides a precise figure. This is our estimate.

18%52%+9.4
Pipelines, quality and the data contract.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
The analyst who finds nothing and the mess.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Privacy, retention and the field you cannot keep.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The business, shadow IT and not building another lake.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That it gets used, and not letting raw data rot.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%28%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • model data
  • lineage
  • data catalogue
  • data contracts
  • pipeline quality
  • retention
  • data lakes
  • privacy

Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511

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